4.6 Article

Privacy-Preserving Collaborative Sharing for Sharing Economy in Fog-Enhanced IoT

Journal

IEEE ACCESS
Volume 11, Issue -, Pages 95295-95306

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3280637

Keywords

Internet of Things; Protocols; Servers; Sharing economy; Privacy; Security; Costs; Collaboration; Edge computing; Fog-enhanced Internet of Things; privacy-preserving; sharing economy; collaborative sharing; homomorphic encryption

Ask authors/readers for more resources

This paper proposes a privacy-preserving collaborative sharing protocol based on the Paillier cryptosystems in fog-enhanced IoT. The protocol ensures fair cost-sharing without communication between users and accurately transmits stored data to users based on their requests without violating their personal privacy.
Fog-enhanced Internet of Things (IoT) has been widely deployed in the field of collaboration and sharing. However, participants expressed concern about the fairness of cost-sharing and privacy of data because of complicated collaborative sharing and untrusted fog nodes in network. In this paper, a novel privacy-preserving collaborative sharing protocol is proposed in fog-enhanced IoT. This protocol, based on the Paillier cryptosystems, can guarantee that only the coarse aggregate of users' requests are used to achieve fair cost-sharing without any communication between users. In addition, with the proposed protocol, the data stored in the device can be accurately transmitted to the user in accordance with each user's request without prying into the user's personal schedule. To demonstrate the security of our protocol, the thorough security analysis is performed. A significant number of experiments and comparison with existing schemes indicates that the suggested protocol is feasible.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available